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Covre optimization for image steganography by using image features

Steganography is the art of science to hide digital media in any other digital media using different techniques. Steganography uses cover to embedded secret data, currently the cover chooses randomly, and for the same secret data every one can choose different cover without a prior knowledge which o...

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Main Author: Khudhair, Zaid Nidhal
Format: Thesis
Language:English
Published: 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/35830/5/ZaidNidhalKhudhairMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/35830/
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spelling my.utm.358302021-07-19T08:30:33Z http://eprints.utm.my/id/eprint/35830/ Covre optimization for image steganography by using image features Khudhair, Zaid Nidhal TK Electrical engineering. Electronics Nuclear engineering Steganography is the art of science to hide digital media in any other digital media using different techniques. Steganography uses cover to embedded secret data, currently the cover chooses randomly, and for the same secret data every one can choose different cover without a prior knowledge which one is better, because there are no rules or measurements used for choosing suitable cover. Chooses the suitable cover is one of the major problems of steganography. This thesis develops techniques for discriminating between images which used as steganography cover in image in image steganography. Proposed algorithm is based on the hypothesis that a particular message embedding scheme leaves statistical evidence or structure that can be exploited for detection with the aid of proper selection of image features analysis. We pointed out the features of image that should be taken more seriously into account in the design of more successful steganography. This thesis suggests rules or measurements to select the proper cover for specific embedded message. It relay on the image features and also some technique to determine the expected secrecy and robustness. For each embedded image, we suggest many images to use as covers, the image features are determined for both covers and embed image. The embedded features are compared with all the covers features, and according to suggest relations in this thesis we will determine specific weight for each cover, best cover is with highest weight for that secret data. The proposed algorithm tested by using LSB image steganography, stego-image compared with the origin one which gives the promised results. Also proposed algorithm compared with other similar works and give better results. 2013-07 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/35830/5/ZaidNidhalKhudhairMFSKSM2013.pdf Khudhair, Zaid Nidhal (2013) Covre optimization for image steganography by using image features. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing.
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Khudhair, Zaid Nidhal
Covre optimization for image steganography by using image features
description Steganography is the art of science to hide digital media in any other digital media using different techniques. Steganography uses cover to embedded secret data, currently the cover chooses randomly, and for the same secret data every one can choose different cover without a prior knowledge which one is better, because there are no rules or measurements used for choosing suitable cover. Chooses the suitable cover is one of the major problems of steganography. This thesis develops techniques for discriminating between images which used as steganography cover in image in image steganography. Proposed algorithm is based on the hypothesis that a particular message embedding scheme leaves statistical evidence or structure that can be exploited for detection with the aid of proper selection of image features analysis. We pointed out the features of image that should be taken more seriously into account in the design of more successful steganography. This thesis suggests rules or measurements to select the proper cover for specific embedded message. It relay on the image features and also some technique to determine the expected secrecy and robustness. For each embedded image, we suggest many images to use as covers, the image features are determined for both covers and embed image. The embedded features are compared with all the covers features, and according to suggest relations in this thesis we will determine specific weight for each cover, best cover is with highest weight for that secret data. The proposed algorithm tested by using LSB image steganography, stego-image compared with the origin one which gives the promised results. Also proposed algorithm compared with other similar works and give better results.
format Thesis
author Khudhair, Zaid Nidhal
author_facet Khudhair, Zaid Nidhal
author_sort Khudhair, Zaid Nidhal
title Covre optimization for image steganography by using image features
title_short Covre optimization for image steganography by using image features
title_full Covre optimization for image steganography by using image features
title_fullStr Covre optimization for image steganography by using image features
title_full_unstemmed Covre optimization for image steganography by using image features
title_sort covre optimization for image steganography by using image features
publishDate 2013
url http://eprints.utm.my/id/eprint/35830/5/ZaidNidhalKhudhairMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/35830/
_version_ 1706956950717071360
score 13.211869

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